Journal Articles

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Kovacs, M., van Ravenzwaaij, D., Hoekstra, R., & Aczel, B. (2021). SampleSizePlanner: A Tool to Estimate and Justify Sample Size for Two-Group Studies. Manuscript submitted for publication. The app can be found here.

Pittelkow, M.-M., de Vries, Y. A., Monden, R., Bastiaansen, J. A., & van Ravenzwaaij, D. (2021). Comparing the Evidential Strength for Psychotropic Drugs: A Bayesian Meta-Analysis. Manuscript submitted for publication. Accompanying materials can be found here.


Bush, M., Fraser, H., Wintle, B. C., Mody, F., Smith, E., Hanea, A., Gould, E., Hemming, V., Hamilton, D. G., Rumpff, L., Wilkinson, D. P., Pearson, R., Thorn, F. S., Ashton, R., Willcox, A., Gray, C., Head, A., Ross, M., Groenewegen, R., Marcoci, A., Vercammen, A., Parker, T., Hoekstra, R., Nakagawa, S., Mandel, D. R., van Ravenzwaaij, D., McBride, M., Sinnott, R. O., Vesk, P., Burgman, M., & Fidler, F. (2021). Predicting Reliability Through Structured Expert Elicitation with repliCATS (Collaborative Assessments for Trustworthy Science). Manuscript submitted for publication.


Wagenmakers, E.-J., Sarafoglou, A., Aarts, S., Albers, C., Algermissen, J., Bahník, J., van Dongen, N. N. N., Hoekstra, R., Moreau, D., van Ravenzwaaij, D., Sluga, A., Stanke, F., Tendeiro, J. N., & Aczel, B. (2021). Toward More Transparency in Statistical Practice. Manuscript submitted for publication.

Hanea, A., Wilkinson, D., McBride, M., Lyon, A., van Ravenzwaaij, D., Thorn, F. S., Grey, C., Mandel, D., Willcox, A., Gould, E., Smith, E., Mody, F., Bush, M., Fidler, F., Fraser, H., & Wintle, B. C. (2021). Mathematically Aggregating Experts’ Predictions of Possible Futures. Manuscript submitted for publication.


Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P. C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., Mulder, J., Palfi, B., Schönbrodt, F. D., Tendeiro, J. N., van den Bergh, D., van Lissa, C., van Ravenzwaaij, D., Vanpaemel, W., Wagenmakers, E.-J., Williams, D. R., Zondervan-Zwijnenburg, M., & Hoijtink, H. (2021). A Review of Applications of the Bayes Factor in Psychological Research. Manuscript submitted for publication. Accompanying materials can be found here.

Muradchanian, J., Hoekstra, R., Kiers, H. A. L., & van Ravenzwaaij, D. (2021). How Best to Quantify Replication Success? A Simulation Study on the Comparison of Replication Success Metrics. Manuscript submitted for publication. R-scripts can be found here.


Hoek, J. M.*, Field, S. M.*, de Vries, Y. A., Linde, M., Pittelkow, M.-M., Muradchanian, J., & van Ravenzwaaij, D. (2021). Rethinking Remdesivir for COVID-19: A Bayesian Reanalysis of Trial Findings. Manuscript submitted for publication. The rmarkdown code belonging to the paper can be found here.

Linde, M., & van Ravenzwaaij, D. (2021). baymedr: An R Package for the Calculation of Bayes Factors for Equivalence, Non-Inferiority, and Superiority Designs. Manuscript submitted for publication.

Tendeiro, J., Kiers, H. A. L., & van Ravenzwaaij, D. (2021). Mathematical Evidence for the Adequacy of Bayesian Optional Stopping. Manuscript submitted for publication.

van Ravenzwaaij, D., & Wagenmakers, E.-J. (2021). Advantages Masquerading as 'Issues' in Bayesian Hypothesis Testing: A Commentary on Tendeiro and Kiers (2019). Manuscript submitted for publication.

In Press

Linde, M., Tendeiro, J. N., Selker, R., Wagenmakers, E.-J., & van Ravenzwaaij, D. (in press). Decisions About Equivalence: A Comparison of TOST, HDI-ROPE, and the Bayes FactorPsychological Methods. R-scripts can be found here.

Haucke, M., Miosga, J., Hoekstra, R., & van Ravenzwaaij, D. (in press). Bayesian Frequentists: Examining the Paradox Between What Researchers Can Conclude Versus What They Want to Conclude from Statistical Results. Collabra: Psychology. Data and materials can be found here.


Pittelkow, M.-M., Hoekstra, R., Karsten, J., & van Ravenzwaaij, D. (in press). Replication Target Selection in Clinical Psychology: A Bayesian and Qualitative Re-Evaluation. Clinical Psychology: Science and Practice.



van Ravenzwaaij, D. (2021). Speelse Statistiek. De Psycholoog, 56, 29Book review of "Bayesiaans Denken voor Peuters" ("Bayesian Thinking for Toddlers") by Eric-Jan Wagenmakers.


van Ravenzwaaij, D., & Etz, A. (2021). Simulation Studies as a Tool to Understand Bayes Factors. Advances in Methods and Practices in Psychological Science, 4, 1-20. The rmarkdown code belonging to the paper can be found here.


Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E.-J., Klugkist, I. G., Rouder, J., Vandekerckhove, J., Lee, M., Morey, R., Vanpaemel, W., Dienes, Z., & van Ravenzwaaij, D. (2020). Discussion Points for Bayesian Inference. Nature Human Behaviour, 4, 561-563. Supplementary materials can be found here.


van Ravenzwaaij, D., Brown, S. D., Marley, A. A. J., & Heathcote, A. (2020). Accumulating Advantages: A New Conceptualization of Rapid Multiple Choice. Psychological Review, 127, 186-215. Supplementary material can be found here.


Konstantinidis, E., van Ravenzwaaij, D., Güney, S., & Newell, B. R. (2020). Now for Sure or Later with a Risk? Modeling Risky Inter-Temporal Choice as Accumulated PreferenceDecision, 7, 91-120.


Field, S. M., Wagenmakers, E.-J., Kiers, H. A. L., Hoekstra, R., Ernst, A., & van Ravenzwaaij, D. (2020). The Effect of Preregistration on Trust in Empirical Research Findings: Results of a Registered Report. Royal Society Open Science, 7, 181351. Study materials can be found here.



Starns, J. J., Cataldo, A. M., Rotello, C. M., Annis, J., Aschenbrenner, A., Broder, A., Cox, G., Criss, A., Curl, R. A., Dobbins, I. G., Dunn, J., Enam, T., Evans, N., Farrell, S., Fraundorf, S. H., Gronlund, S. D., Heathcote, A., Heck, D. W., Hicks, J., L., Huff, M. J., Kellen, D., Key, K., N., Kilic, A., Klauer, C., Kraemer, K. R., Leite, F. P., Lloyd, M. E., Malejka, S., Mason, A., McAdoo, R. M., McDonough, I. M., Michael, R., Mickes, L., Mizrak, E., Morgan, D. P., Mueller, S. T., Osth, A., Reynolds, A., Seale-Carlisle, T. M., Singmann, H., Sloane, J. F., Smith, A., Tillman, G., van Ravenzwaaij, D., Weidemann, C. T., Wells, G., White, C. N., & Wilson, J. (2019). Assessing Theoretical Conclusions with Blinded Inference to Investigate a Potential Inference Crisis. Advances in Methods and Practices in Psychological Science, 2, 335-349.

van Ravenzwaaij, D., & Ioannidis, J. P. A. (2019). True and False Positive Rates for Different Criteria of Evaluating Statistical Evidence from Clinical Trials. BMC: Medical Research Methodology, 19, 218. R-code and supplementary material can be found here.


Field, S. M., Hoekstra, R., Bringmann, L., & van Ravenzwaaij, D. (2019). When and Why to Replicate: As Easy as 1, 2, 3? Collabra: Psychology, 5, 46.

Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.--M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.--S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C. N., Wiecki, T. V., Rieskamp, J., & Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive ModelsPsychonomic Bulletin & Review, 26, 1051-1069.

Crisan, D. R., Tendeiro, J. N., Wanders, R. B. K., van Ravenzwaaij, D., Meijer, R. R., & Hartman, C. A. (2019). Practical Consequences of Model Misfit When Using Rating Scales to Assess ADHD Severity in Children​. International Journal of Methods in Psychiatric Research, 28, e1795.

van Ravenzwaaij, D., Monden, R., Tendeiro, J., & Ioannidis, J. P. A. (2019). Bayes Factors for Superiority, Non-Inferiority, and Equivalence Designs. BMC: Medical Research Methodology, 19, 71. R-code for simulations can be found here.

van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N., Lakens, D., Hennig, C., Morey, R. D., Homer, S., Gelman, A., Sprenger, J., & Wagenmakers, E.-J. (2019). Multiple Perspectives on Inference for Two Simple Statistical ScenariosThe American Statistician, 73, 328–339.



Boehm, U., Annis, J., Frank, M. J., Hawkins, G. E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G. D., Palmeri, T. J., van Ravenzwaaij, D., Servant, M., Singmann, H., Starns, J. J., Voss, A., Wiecki, T. V., Matzke, D., & Wagenmakers, E.-J. (2018). Estimating Across-Trial Variability Parameters of the Diffusion Decision Model: Expert Advice and RecommendationsJournal of Mathematical Psychology, 87, 46–75.


Albers, C., Kiers, H., & van Ravenzwaaij, D. (2018). Credible Confidence: A pragmatic view on the frequentist vs Bayesian debateCollabra: Psychology, 4, 31.


Baribault, B., Donkin, C., Little, D. R., Trueblood, J. S., Oravecz, Z., van Ravenzwaaij, D., White, C. N., de Boeck, P. & Vandekerckhove, J. (2018). Meta-Studies for Robust Tests of TheoryProceedings of the National Academy of Sciences, 115, 2607–2612.


Ernst, A. F., Hoekstra, R., Wagenmakers, E.–J., Gelman, A., & van Ravenzwaaij, D. (2018). Do Researchers Anchor their Beliefs on the Outcome of an Initial Study? Testing the Time-Reversal HeuristicExperimental Psychology, 65, 158–169.


Monden, R., Roest, A. M., van Ravenzwaaij, D., Wagenmakers, E.--J., Morey, R., Wardenaar, K. J. & de Jonge, P. (2018). The Comparative Evidence Basis for the Efficacy of Second-Generation Antidepressants in the Treatment of Depression in the US: A Bayesian Meta-Analysis of Food and Drug Administration ReviewsJournal of Affective Disorders, 235, 393–398.


Hoekstra, R., Monden, R., van Ravenzwaaij, D., & Wagenmakers, E.--J. (2018). Bayesian Reanalysis of Null Results Reported in the New England Journal of Medicine: Strong yet Variable Evidence for the Absence of Treatment EffectsPLoS One, 13, e0195474.


Heida, A., Van de Vijver, E., van Ravenzwaaij, D., Van Biervliet, S., Hummel, T. Z., Yuksel, Z., Gonera-de Jong, G., Schulenberg, R., Muller Kobold, A., van Rheenen, P. F. & the CACATU Consortium (2018). Predicting inflammatory bowel disease in children with abdominal pain and diarrhoea: Calgranulin-C versus calprotectin stool testsArchives of Disease in Childhood, 103, 565–571.


Campbell, L., Hanlon, M.–C., Cherrie, G., Harvey, C., Stain, H. J., Cohen, M., van Ravenzwaaij, D. , & Brown, S. D. (2018). Severity of Illness and Adaptive Functioning Predict Quality of Care of Children Among Parents with Psychosis: A Confirmatory Factor AnalysisAustralian and New Zealand Journal of Psychiatry, 52, 435–445.


van Ravenzwaaij, D., Cassey, P., & Brown, S. D. (2018). A Simple Introduction to Markov Chain Monte–Carlo SamplingPsychonomic Bulletin & Review, 25, 143–154.




Tillman, G., Osth, A., van Ravenzwaaij, D., & Heathcote, A. (2017). A Diffusion Decision Model Analysis of Evidence Variability in the Lexical Decision TaskPsychonomic Bulletin & Review, 24, 1949–1956.


Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2017). Hold it! The Influence of Lingering Rewards on Choice Diversification and PersistenceJournal of Experimental Psychology: Learning, Memory & Cognition, 43, 1752–1767.


van Ravenzwaaij, D., Donkin, C., & Vandekerckhove, J. (2017). The EZ Diffusion Model Provides a Powerful Test of Simple Empirical EffectsPsychonomic Bulletin & Review, 24, 547–556. The online appendix can be found here.


van Ravenzwaaij, D. & Ioannidis, J. P. A. (2017). A Simulation Study of the Strength of Evidence in the Recommendation of Medications Based on Two Trials with Statistically Significant ResultsPLoS One, 12, e0173184. R code for the simulations can be found here. Supplementary material can be found here.


Tillman, G., Benders, T., Brown, S. D., & van Ravenzwaaij, D. (2017). An Evidence Accumulation Model of Acoustic Cue Weighting in Vowel PerceptionJournal of Phonetics, 61, 1–12.


van Ravenzwaaij, D., Provost, A., & Brown, S. D. (2017). A Confirmatory Approach for Integrating Neural and Behavioral Data into a Single Model. Journal of Mathematical Psychology, 76, 131–141.Data and the model script can be found here.


Huizenga, H., van Ravenzwaaij, D., Ridderinkhof, R., & Wetzels, R. (2017). Albright vs. Trump: Scientific Evidence for the Beneficial Effects of Careful Deliberation (eLetter). Science, doi: 10.13140/RG.2.2.24390.27207.




Field, S. M., Wagenmakers, E.--J., Newell, B. R., Zeelenberg, R. & van Ravenzwaaij, D. (2016). Two Bayesian Tests of the GLOMOsys ModelJournal of Experimental Psychology: General, 145, e81–e95.


Cramer, A. O. J., van Ravenzwaaij, D., Matzke, D., Steingröver, H., Wetzels, R., Grasman, R. P. P. P., Waldorp, L. J., & Wagenmakers, E.–J. (2016). Hidden Multiplicity in Multiway ANOVA: Prevalence, Consequences, and RemediesPsychonomic Bulletin & Review, 23, 640–647.




Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2015). Of Matchers and Maximizers: How Competition Shapes Choice under Risk and UncertaintyCognitive Psychology, 78, 78–98.


van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F. & Wagenmakers, E.–J. (2015). Paradoxes of Optimal Decision Making: A Response to Moran (2014)Psychonomic Bulletin & Review, 22, 307–308. 




van Ravenzwaaij, D., Boekel, W., Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.–J. (2014). Action Video Games Do Not Improve the Speed of Information Processing in Simple Perceptual TasksJournal of Experimental Psychology: General, 143, 1794–1805. The online appendix can be found here. The data from both experiments can be found here


van Ravenzwaaij, D., Moore, C. P., Lee, M. D., & Newell, B. R. (2014). A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi–Attribute JudgmentCognitive Science, 38, 1384–1405. R scripts, JAGS model files, and data can be found here.


Huizenga, H., van Duijvenvoorde, A., van Ravenzwaaij, D., Wetzels, R., & Jansen, B. (2014). Is the Unconscious, if it Exists, a Superior Decision Maker? (Commentary Article). Behavioral Brain Sciences, 37, 32–33.




Newell, B. R., van Ravenzwaaij, D., & Donkin, C. (2013). A Quantum of Truth? Querying the Alternative Benchmark for Human Cognition (Commentary Article). Behavioral Brain Sciences, 36, 300–302.


Newell, B. R., Koehler, D. J., James, G., Rakow, T., & van Ravenzwaaij, D. (2013). Probability Matching in Risky Choice: The Interplay of Feedback and Strategy AvailabilityMemory & Cognition, 41, 329–338. R scripts, WinBUGS model files, and data can be found here.




Dutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E.–J. (2012). How to Measure Post–Error Slowing: A Confound and a Simple SolutionJournal of Mathematical Psychology, 56, 208–216.


van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F. & Wagenmakers, E.–J. (2012). Do the Dynamics of Prior Information Depend on Task Context? An Analysis of Optimal Performance and an Empirical Test. Frontiers in Cognitive Science, 3:132, 1–15.


van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.–J. (2012). Optimal Decision Making in Neural Inhibition ModelsPsychological Review, 119, 201–215. Click here for supplementary material.


Huizenga, H. M., Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E.–J. (2012). Four Empirical Tests of Unconscious Thought TheoryOrganizational Behavior and Human Decision Processes, 117, 332–340.


van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E.–J. (2012). A Diffusion Model Decomposition of the Effects of Alcohol on Perceptual Decision MakingPsychopharmacology, 219, 1017–1025.




van Ravenzwaaij, D., Brown, S., & Wagenmakers, E.–J. (2011). An Integrated Perspective on the Relation Between Response Speed and IntelligenceCognition, 119, 381–393.


van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.–J. (2011). Does the Name-Race Implicit Association Test Measure Racial Prejudice? Experimental Psychology, 58, 271–277. A list of stimuli used in both studies can be found here. The online appendix can be found here. This article was featured in an issue of Psychology Today here.


van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E.–J. (2011). Cognitive Model Decomposition of the BART: Assessment and ApplicationJournal of Mathematical Psychology, 55, 94–105. R scripts, WinBUGS model files, and data can be found here. The online appendix can be found here.




van Ravenzwaaij, D., & Oberauer, K. (2009). How to Use the Diffusion Model: Monte–Carlo Simulations Evaluating Parameter Recovery of Three Methods: EZ, Fast-DM, and DMATJournal of Mathematical Psychology, 53, 463–473.


Keye, D., Wilhelm, O., Oberauer, K., & van Ravenzwaaij, D. (2009). Individual Differences in Conflict-Monitoring: Testing Means and Covariance Hypothesis about the Simon and the Eriksen Flanker Task. Psychological Research, 73, 762–776.




van Ravenzwaaij, D., & Hamel, R. (2006). De Nederlandstalige WAIS–III na HernormeringDe Psycholoog, 5, 268–271.

Refereed Conference Proceedings

Konstantinidis, E., van Ravenzwaaij, D., & Newell, B. R. (2017). Exploring the Decision Dynamics of Risky Intertemporal Choice. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 694–699). Berlin, Germany: Cognitive Science Society.


van Ravenzwaaij, D., Newell, B. R., Moore, C. P., & Lee, M. D., (2013). Using Recognition in Multi-Attribute Decision Environments. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 3627–3632). Berlin, Germany: Cognitive Science Society.


Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2013). Match Me if You Can: How Smart Choices are Fueled by Competition. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 3372–3377). Berlin, Germany: Cognitive Science Society.

Book Chapters

van Ravenzwaaij, D. (2018). MCMC: A Clever Way to Run the Numbers. In Farrell, S. and Lewandowsky, S. (Eds.). Computational Modeling of Cognition and Behaviour (pp. 170–171). Cambridge University Press.


Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E.–J. (2015). Bayesian Analysis. In R. L. Cautin, & S. O. Lilienfeld (Eds.), The Encyclopedia of Clinical Psychology (pp. 274–283). John Wiley & Sons. 


van Ravenzwaaij, D., Lee, M. D., & Wagenmakers, E.–J. (2013). The BART Model of Risk Taking. In M. D. Lee, & E.–J. Wagenmakers (Eds.), Bayesian Cognitive Modeling: A Practical Course (pp. 206–211). Cambridge University Press.